Battery Interior Air Analysis for Defect Detection in Recycling

The patent applies preliminary action by performing non-invasive detection of defective batteries through exterior inspection and data analysis before the batteries are opened for recycling. This advance detection identifies batteries with compromised housings or internal damage, allowing them to be separated and handled with appropriate safety measures before the recycling process begins, thus preventing toxic substance release while maintaining recycling throughput.

The patent applies universality by developing a multi-functional detection system that can operate in multiple modes: when battery management system data is available, it analyzes that data; when such data is not available, it performs alternative non-invasive inspections of the battery exterior and uses general safety protocols. This makes the detection system adaptable to different battery types and configurations, ensuring defect detection capability across diverse battery management system implementations.

The patent applies segmentation by breaking down the defect detection process into multiple independent assessment stages: first checking the rupture membrane status as one indicator, then performing additional non-invasive inspections of the battery exterior for other signs of damage, and finally analyzing battery management system data if available. This segmented approach allows the system to use the simple rupture membrane check as a preliminary filter while adding more sophisticated detection methods only when needed, maintaining detection accuracy without unnecessarily complicating the overall system.